Node Management

The Nodes section provides detailed information about computing nodes connected to your clusters, their resources, and operational status.

Note

Visual guides and screenshots will be added in future documentation updates.

Overview

Nodes are individual computing resources that execute tasks within a cluster. The dashboard allows you to:

  • Monitor node health and availability

  • Track resource utilization

  • View task assignments

  • Manage node configurations

  • Troubleshoot issues

Node List View

The main nodes view displays all nodes across your clusters:

Information Displayed
  • Node ID and name

  • Cluster membership

  • Status (Active, Idle, Offline)

  • Resource capacity (CPU, Memory, GPU)

  • Current utilization

  • Active tasks

  • Last seen timestamp

Filtering Options
  • By cluster

  • By status

  • By resource availability

  • By tags

Actions Available
  • View details

  • Stop node

  • Remove from cluster

  • Export logs

Node Details

Clicking on a node reveals detailed information:

System Information
  • Hardware specifications

  • Operating system

  • Container runtime

  • Network configuration

Resource Metrics
  • CPU usage history

  • Memory consumption

  • Disk I/O

  • Network traffic

Task History
  • Completed tasks

  • Failed tasks

  • Current assignments

  • Execution logs

Health Status
  • Connection stability

  • Error rates

  • Performance scores

  • Alerts and warnings

Monitoring Nodes

Real-time Metrics
  • Live resource graphs

  • Task throughput

  • Network latency

  • Error rates

Historical Analysis
  • Utilization trends

  • Performance patterns

  • Failure analysis

  • Capacity planning

Alerts and Notifications
  • Resource exhaustion

  • Connection issues

  • Task failures

  • Maintenance requirements

Troubleshooting

Common Issues

  • Node Offline: Check network connectivity and agent status

  • High Resource Usage: Review task assignments and limits

  • Task Failures: Examine logs and error messages

  • Poor Performance: Analyze resource contention and bottlenecks

Next Steps